Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Age-dependent Non-silent Somatic Mutation with Transcriptomic Landscape and Prognosis of Lower Grade Glioma

Version 1 : Received: 22 February 2021 / Approved: 23 February 2021 / Online: 23 February 2021 (08:16:52 CET)

How to cite: Park, Y.; Park, J.; Ahn, J. W.; Sim, J.; Kang, S. J.; Kim, S.; Hwang, S.; Sung, K. S.; Lim, J. Age-dependent Non-silent Somatic Mutation with Transcriptomic Landscape and Prognosis of Lower Grade Glioma. Preprints 2021, 2021020501. https://doi.org/10.20944/preprints202102.0501.v1 Park, Y.; Park, J.; Ahn, J. W.; Sim, J.; Kang, S. J.; Kim, S.; Hwang, S.; Sung, K. S.; Lim, J. Age-dependent Non-silent Somatic Mutation with Transcriptomic Landscape and Prognosis of Lower Grade Glioma. Preprints 2021, 2021020501. https://doi.org/10.20944/preprints202102.0501.v1

Abstract

Glioma accounts for 80% of all malignant brain tumors and is the most common adult primary brain tumor. Age is an important factor affecting the development of cancer as somatic mutations accumulate with age. In this study, we aimed to analyze the significance of age-related non-silent somatic mutations in glioma prognosis. Histological tumor grade depends on age at diagnosis in patients with IDH1, TP53, ATRX, and EGFR mutations. The hierarchical clustering of patients was dominantly separated by IDH1 and EGFR mutations. Furthermore, patients with IDH1 mutation were dominantly separated by TP53 and ATRX double mutation and its double wildtype counterpart. Patients with the double mutation showed poorer prognosis than those with the double wild type genotype. In conclusion, among the many somatic mutations, those in IDH1, TP53, ATRX, and EGFR are important for glioma classification based on histological grade. Patients with EGFR mutation had the poorest prognosis, whereas those with only IDH1 mutation showed the best prognosis.

Keywords

age; glioma; mutation; TCGA; transcriptomic analysis

Subject

Medicine and Pharmacology, Oncology and Oncogenics

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